Projects

LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting

A package of multiple Large Time Series Models design choices, including pre-processing strategies, tokenization, model architectures, and dataset setups. Received 100+ Stars.

ECLAD: An Edge-Cloud Collaborative Agentic Framework for Interpretable Anomaly Detection in Predictive Maintenance

An edge-cloud collaborative framework for interpretable anomaly detection in predictive maintenance deployed on HVAC, oil and gas production lines.